A Supplementary Neural Controller for Novel Modeling of VSC HVDC toEnhance Dynamic Stability in a Power System

This paper presents the establishment of a novel linearized Phillips-Heffron model of a power system installed HVAC parallel-connected with a High Voltage Direct Current based voltage source converter (VSC HVDC). The use of the supplementary controllers of a VSC HVDC to damp low frequency oscillations in a weaklyconnected system is proposed. The potential of VSC HVDC supplementary controllers to enhance the dynamic stability is evaluated by measuring the electromechanical controllability through the singular value decomposition (SVD) analysis. The supplementary controller is designed based on system state space equations to obtain controlling signal. In this paper a proposed neural controller is used to product a supplementary controlling signal for stabilizing and oscillation damping to overcome the drawbacks of conventional lead-lag controllers.

Keywords:

VSC HVDC , Dynamical Modeling , Singular Value Decomposition , Supplementary Controller , Neural Network Controller , Power System Stability